Overview

Dataset statistics

Number of variables15
Number of observations1253
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.6 KiB
Average record size in memory128.0 B

Variable types

Numeric14
Categorical1

Alerts

last_quote is highly overall correlated with strike and 9 other fieldsHigh correlation
strike is highly overall correlated with last_quote and 9 other fieldsHigh correlation
exp_price is highly overall correlated with last_quote and 9 other fieldsHigh correlation
exp_call_price is highly overall correlated with last_quote and 10 other fieldsHigh correlation
exp_price_min is highly overall correlated with last_quote and 9 other fieldsHigh correlation
exp_price_max is highly overall correlated with last_quote and 9 other fieldsHigh correlation
exp_price_std is highly overall correlated with last_quote and 11 other fieldsHigh correlation
exp_price_median is highly overall correlated with last_quote and 9 other fieldsHigh correlation
exp_price_q1 is highly overall correlated with last_quote and 9 other fieldsHigh correlation
exp_price_q3 is highly overall correlated with last_quote and 9 other fieldsHigh correlation
exp_price_kurtosis is highly overall correlated with exp_call_price and 2 other fieldsHigh correlation
exp_price_skew is highly overall correlated with exp_call_price and 2 other fieldsHigh correlation
r is highly overall correlated with last_quote and 8 other fieldsHigh correlation
exp_price has unique valuesUnique
exp_call_price has unique valuesUnique
exp_price_min has unique valuesUnique
exp_price_max has unique valuesUnique
exp_price_std has unique valuesUnique
exp_price_median has unique valuesUnique
exp_price_q1 has unique valuesUnique
exp_price_q3 has unique valuesUnique
exp_price_kurtosis has unique valuesUnique
exp_price_skew has unique valuesUnique

Reproduction

Analysis started2024-02-08 16:04:06.041957
Analysis finished2024-02-08 16:04:52.506470
Duration46.46 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

last_quote
Real number (ℝ)

HIGH CORRELATION 

Distinct1199
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344.61009
Minimum222.21
Maximum477.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-02-08T17:04:52.730218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum222.21
5-th percentile263.798
Q1284.03
median326.88
Q3406.06
95-th percentile454.348
Maximum477.77
Range255.56
Interquartile range (IQR)122.03

Descriptive statistics

Standard deviation66.858522
Coefficient of variation (CV)0.19401209
Kurtosis-1.2953419
Mean344.61009
Median Absolute Deviation (MAD)52.79
Skewness0.35421747
Sum431796.44
Variance4470.062
MonotonicityNot monotonic
2024-02-08T17:04:53.065728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
280.99 3
 
0.2%
298.09 3
 
0.2%
274.51 3
 
0.2%
272.06 2
 
0.2%
269.11 2
 
0.2%
273.35 2
 
0.2%
269.48 2
 
0.2%
446.65 2
 
0.2%
263.63 2
 
0.2%
265.09 2
 
0.2%
Other values (1189) 1230
98.2%
ValueCountFrequency (%)
222.21 1
0.1%
228.95 1
0.1%
234.34 1
0.1%
239.75 1
0.1%
240.72 1
0.1%
240.94 1
0.1%
241.23 1
0.1%
242 1
0.1%
244.09 1
0.1%
246.02 1
0.1%
ValueCountFrequency (%)
477.77 1
0.1%
477.56 1
0.1%
477.48 1
0.1%
477.26 1
0.1%
476.92 1
0.1%
476.14 1
0.1%
475.08 1
0.1%
470.96 1
0.1%
470.68 1
0.1%
470.59 1
0.1%

strike
Real number (ℝ)

HIGH CORRELATION 

Distinct269
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344.59497
Minimum222
Maximum478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-02-08T17:04:53.374248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile264
Q1284.5
median327
Q3405
95-th percentile454.4
Maximum478
Range256
Interquartile range (IQR)120.5

Descriptive statistics

Standard deviation66.86147
Coefficient of variation (CV)0.19402915
Kurtosis-1.2942565
Mean344.59497
Median Absolute Deviation (MAD)53
Skewness0.35426981
Sum431777.5
Variance4470.4562
MonotonicityNot monotonic
2024-02-08T17:04:53.685148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
279 24
 
1.9%
265 19
 
1.5%
288 18
 
1.4%
275 17
 
1.4%
270 17
 
1.4%
290 15
 
1.2%
274 14
 
1.1%
285 14
 
1.1%
286 13
 
1.0%
438 13
 
1.0%
Other values (259) 1089
86.9%
ValueCountFrequency (%)
222 1
 
0.1%
229 1
 
0.1%
234 1
 
0.1%
240 1
 
0.1%
241 3
0.2%
242 1
 
0.1%
244 1
 
0.1%
246 2
0.2%
247 2
0.2%
248 4
0.3%
ValueCountFrequency (%)
478 3
0.2%
477 2
 
0.2%
476 1
 
0.1%
475 1
 
0.1%
471 2
 
0.2%
470 5
0.4%
469 5
0.4%
468 7
0.6%
467 5
0.4%
466 3
0.2%

exp_price
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345.03892
Minimum223.10193
Maximum478.44879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-02-08T17:04:53.985658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum223.10193
5-th percentile264.13643
Q1284.28585
median327.21448
Q3406.67287
95-th percentile454.98139
Maximum478.44879
Range255.34686
Interquartile range (IQR)122.38702

Descriptive statistics

Standard deviation66.966192
Coefficient of variation (CV)0.19408301
Kurtosis-1.297179
Mean345.03892
Median Absolute Deviation (MAD)52.784864
Skewness0.35523095
Sum432333.77
Variance4484.4709
MonotonicityNot monotonic
2024-02-08T17:04:54.318826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
269.0850606 1
 
0.1%
416.0825587 1
 
0.1%
410.7791653 1
 
0.1%
406.0569419 1
 
0.1%
414.7883697 1
 
0.1%
418.4600295 1
 
0.1%
422.55291 1
 
0.1%
419.5094954 1
 
0.1%
416.1972033 1
 
0.1%
418.5946299 1
 
0.1%
Other values (1243) 1243
99.2%
ValueCountFrequency (%)
223.1019317 1
0.1%
229.8512213 1
0.1%
234.7381348 1
0.1%
240.4869861 1
0.1%
241.1265182 1
0.1%
241.8263809 1
0.1%
242.076362 1
0.1%
242.9204933 1
0.1%
244.5666596 1
0.1%
246.4417479 1
0.1%
ValueCountFrequency (%)
478.4487914 1
0.1%
478.2544779 1
0.1%
478.1837028 1
0.1%
478.0699845 1
0.1%
477.7097997 1
0.1%
476.7810843 1
0.1%
475.761491 1
0.1%
471.6031338 1
0.1%
471.3322119 1
0.1%
471.3233336 1
0.1%

exp_call_price
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9758677
Minimum3.8873511
Maximum12.857304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-02-08T17:04:54.640952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8873511
5-th percentile4.3264148
Q15.0696351
median6.7734228
Q38.5181419
95-th percentile10.55773
Maximum12.857304
Range8.9699527
Interquartile range (IQR)3.4485068

Descriptive statistics

Standard deviation2.0607925
Coefficient of variation (CV)0.29541737
Kurtosis-0.70383134
Mean6.9758677
Median Absolute Deviation (MAD)1.7198508
Skewness0.46088236
Sum8740.7622
Variance4.2468658
MonotonicityNot monotonic
2024-02-08T17:04:54.926917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.795894897 1
 
0.1%
7.6964186 1
 
0.1%
8.577481925 1
 
0.1%
8.148467171 1
 
0.1%
8.487079448 1
 
0.1%
8.39247242 1
 
0.1%
8.290346541 1
 
0.1%
8.049894171 1
 
0.1%
7.943920245 1
 
0.1%
8.157606303 1
 
0.1%
Other values (1243) 1243
99.2%
ValueCountFrequency (%)
3.88735115 1
0.1%
3.933851225 1
0.1%
3.983543862 1
0.1%
4.025665778 1
0.1%
4.034632221 1
0.1%
4.060379382 1
0.1%
4.067345863 1
0.1%
4.077872991 1
0.1%
4.079095624 1
0.1%
4.080895032 1
0.1%
ValueCountFrequency (%)
12.85730388 1
0.1%
12.74225987 1
0.1%
12.56691009 1
0.1%
12.54671092 1
0.1%
12.49407193 1
0.1%
12.33373683 1
0.1%
12.31075837 1
0.1%
12.25901785 1
0.1%
12.22290661 1
0.1%
12.19917918 1
0.1%

exp_price_min
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean273.56898
Minimum140.4202
Maximum390.96138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-02-08T17:04:55.258960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140.4202
5-th percentile201.81584
Q1231.4778
median266.50369
Q3316.05138
95-th percentile362.84726
Maximum390.96138
Range250.54119
Interquartile range (IQR)84.573587

Descriptive statistics

Standard deviation51.958146
Coefficient of variation (CV)0.18992704
Kurtosis-0.90096994
Mean273.56898
Median Absolute Deviation (MAD)39.626442
Skewness0.24002051
Sum342781.93
Variance2699.6489
MonotonicityNot monotonic
2024-02-08T17:04:55.564092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
220.299691 1
 
0.1%
335.6896654 1
 
0.1%
325.2571205 1
 
0.1%
320.4911051 1
 
0.1%
329.3274009 1
 
0.1%
327.3342201 1
 
0.1%
334.0122796 1
 
0.1%
340.8080806 1
 
0.1%
337.1036145 1
 
0.1%
330.6170693 1
 
0.1%
Other values (1243) 1243
99.2%
ValueCountFrequency (%)
140.420197 1
0.1%
151.8821147 1
0.1%
158.5741803 1
0.1%
158.9136427 1
0.1%
159.2007727 1
0.1%
161.3866179 1
0.1%
163.1225338 1
0.1%
163.6122944 1
0.1%
165.1492315 1
0.1%
166.0133844 1
0.1%
ValueCountFrequency (%)
390.9613849 1
0.1%
390.7820601 1
0.1%
388.7305544 1
0.1%
388.3691974 1
0.1%
387.0944635 1
0.1%
386.7360356 1
0.1%
384.6079972 1
0.1%
384.1732378 1
0.1%
383.3493496 1
0.1%
383.1482974 1
0.1%

exp_price_max
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean434.91892
Minimum314.02129
Maximum635.05923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-02-08T17:04:55.860804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum314.02129
5-th percentile331.67888
Q1349.79042
median408.04297
Q3519.13186
95-th percentile586.80235
Maximum635.05923
Range321.03794
Interquartile range (IQR)169.34144

Descriptive statistics

Standard deviation89.905408
Coefficient of variation (CV)0.20671763
Kurtosis-1.2780332
Mean434.91892
Median Absolute Deviation (MAD)69.285592
Skewness0.40820286
Sum544953.4
Variance8082.9823
MonotonicityNot monotonic
2024-02-08T17:04:56.197196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
331.7974366 1
 
0.1%
513.3099689 1
 
0.1%
524.3510076 1
 
0.1%
515.2864103 1
 
0.1%
520.9808098 1
 
0.1%
524.3088678 1
 
0.1%
523.4755056 1
 
0.1%
517.6396864 1
 
0.1%
519.1429541 1
 
0.1%
529.2788717 1
 
0.1%
Other values (1243) 1243
99.2%
ValueCountFrequency (%)
314.0212886 1
0.1%
314.7674668 1
0.1%
317.2767661 1
0.1%
319.1902718 1
0.1%
320.3682356 1
0.1%
321.9805983 1
0.1%
323.6863492 1
0.1%
323.723582 1
0.1%
323.9746489 1
0.1%
324.0121763 1
0.1%
ValueCountFrequency (%)
635.0592334 1
0.1%
634.8574732 1
0.1%
628.4204797 1
0.1%
627.3670682 1
0.1%
626.6511309 1
0.1%
622.5416836 1
0.1%
622.0567574 1
0.1%
620.2403923 1
0.1%
617.6362129 1
0.1%
617.2028648 1
0.1%

exp_price_std
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.950542
Minimum9.8208722
Maximum29.998447
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-02-08T17:04:56.512475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.8208722
5-th percentile10.68765
Q112.339613
median16.479608
Q320.656004
95-th percentile25.526152
Maximum29.998447
Range20.177575
Interquartile range (IQR)8.3163914

Descriptive statistics

Standard deviation4.8988107
Coefficient of variation (CV)0.28900614
Kurtosis-0.77793
Mean16.950542
Median Absolute Deviation (MAD)4.1522724
Skewness0.44718197
Sum21239.029
Variance23.998346
MonotonicityNot monotonic
2024-02-08T17:04:56.872708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.92974202 1
 
0.1%
19.21547005 1
 
0.1%
20.537425 1
 
0.1%
20.36815218 1
 
0.1%
20.30414361 1
 
0.1%
20.5056531 1
 
0.1%
20.10338393 1
 
0.1%
19.5605131 1
 
0.1%
19.67558542 1
 
0.1%
19.71435348 1
 
0.1%
Other values (1243) 1243
99.2%
ValueCountFrequency (%)
9.82087215 1
0.1%
9.930819245 1
0.1%
10.04967731 1
0.1%
10.09477305 1
0.1%
10.09478617 1
0.1%
10.12455182 1
0.1%
10.18677201 1
0.1%
10.19973697 1
0.1%
10.2211127 1
0.1%
10.22167224 1
0.1%
ValueCountFrequency (%)
29.99844707 1
0.1%
29.85696718 1
0.1%
29.71494129 1
0.1%
29.58748772 1
0.1%
29.57402613 1
0.1%
29.52791719 1
0.1%
29.51865977 1
0.1%
29.39513341 1
0.1%
29.27743791 1
0.1%
29.19942172 1
0.1%

exp_price_median
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344.60919
Minimum222.22284
Maximum477.80051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-02-08T17:04:57.250598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum222.22284
5-th percentile263.78724
Q1284.036
median326.85684
Q3406.07688
95-th percentile454.35148
Maximum477.80051
Range255.57767
Interquartile range (IQR)122.04088

Descriptive statistics

Standard deviation66.857654
Coefficient of variation (CV)0.19401007
Kurtosis-1.2952838
Mean344.60919
Median Absolute Deviation (MAD)52.781082
Skewness0.35425656
Sum431795.32
Variance4469.9459
MonotonicityNot monotonic
2024-02-08T17:04:57.611058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268.8186998 1
 
0.1%
415.6394728 1
 
0.1%
410.2242116 1
 
0.1%
405.5470622 1
 
0.1%
414.2908239 1
 
0.1%
417.9593287 1
 
0.1%
422.0728861 1
 
0.1%
419.021487 1
 
0.1%
415.7249717 1
 
0.1%
418.1554946 1
 
0.1%
Other values (1243) 1243
99.2%
ValueCountFrequency (%)
222.2228395 1
0.1%
228.9802587 1
0.1%
234.3584902 1
0.1%
239.7487536 1
0.1%
240.7627585 1
0.1%
240.9378736 1
0.1%
241.205617 1
0.1%
241.9290321 1
0.1%
244.1004568 1
0.1%
245.9952733 1
0.1%
ValueCountFrequency (%)
477.800513 1
0.1%
477.6146029 1
0.1%
477.5341872 1
0.1%
477.2709828 1
0.1%
476.9133041 1
0.1%
476.1604448 1
0.1%
475.1192398 1
0.1%
470.946619 1
0.1%
470.6644456 1
0.1%
470.5779852 1
0.1%

exp_price_q1
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean333.39234
Minimum209.03456
Maximum461.76128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-02-08T17:04:57.984783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum209.03456
5-th percentile255.13323
Q1275.52501
median317.78942
Q3391.87913
95-th percentile438.92181
Maximum461.76128
Range252.72671
Interquartile range (IQR)116.35412

Descriptive statistics

Standard deviation64.284646
Coefficient of variation (CV)0.1928198
Kurtosis-1.2665363
Mean333.39234
Median Absolute Deviation (MAD)51.279404
Skewness0.34228126
Sum417740.61
Variance4132.5158
MonotonicityNot monotonic
2024-02-08T17:04:58.350483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260.8933283 1
 
0.1%
402.9361193 1
 
0.1%
396.7070363 1
 
0.1%
392.0494597 1
 
0.1%
400.8510444 1
 
0.1%
404.4408838 1
 
0.1%
408.7629949 1
 
0.1%
406.0906861 1
 
0.1%
402.6970341 1
 
0.1%
405.0346302 1
 
0.1%
Other values (1243) 1243
99.2%
ValueCountFrequency (%)
209.0345646 1
0.1%
215.8401745 1
0.1%
225.5414486 1
0.1%
227.1395099 1
0.1%
227.3449429 1
0.1%
227.8073165 1
0.1%
227.9463479 1
0.1%
231.6990409 1
0.1%
231.7935863 1
0.1%
231.986668 1
0.1%
ValueCountFrequency (%)
461.7612774 1
0.1%
461.1186593 1
0.1%
459.9186826 1
0.1%
459.6417118 1
0.1%
459.2836969 1
0.1%
459.0254001 1
0.1%
458.2886238 1
0.1%
456.7899048 1
0.1%
456.3778965 1
0.1%
456.0171984 1
0.1%

exp_price_q3
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean356.21756
Minimum236.12943
Maximum496.2259
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-02-08T17:04:58.706360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236.12943
5-th percentile273.30089
Q1292.76372
median337.01092
Q3421.15223
95-th percentile471.12419
Maximum496.2259
Range260.09647
Interquartile range (IQR)128.3885

Descriptive statistics

Standard deviation69.586494
Coefficient of variation (CV)0.1953483
Kurtosis-1.3162441
Mean356.21756
Median Absolute Deviation (MAD)54.50552
Skewness0.36455744
Sum446340.61
Variance4842.2802
MonotonicityNot monotonic
2024-02-08T17:04:59.388760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
276.9681532 1
 
0.1%
428.7705076 1
 
0.1%
424.3659804 1
 
0.1%
419.4873695 1
 
0.1%
428.2064593 1
 
0.1%
431.9709121 1
 
0.1%
435.8352335 1
 
0.1%
432.4387372 1
 
0.1%
429.215605 1
 
0.1%
431.6450942 1
 
0.1%
Other values (1243) 1243
99.2%
ValueCountFrequency (%)
236.1294307 1
0.1%
242.9066506 1
0.1%
243.5338853 1
0.1%
250.046062 1
0.1%
252.9842901 1
0.1%
254.2928711 1
0.1%
255.2868421 1
0.1%
255.3041859 1
0.1%
255.9376339 1
0.1%
256.4050439 1
0.1%
ValueCountFrequency (%)
496.2259014 1
0.1%
495.8365768 1
0.1%
495.2858648 1
0.1%
495.0128936 1
0.1%
493.8924378 1
0.1%
493.2260972 1
0.1%
492.4949741 1
0.1%
488.718466 1
0.1%
488.0766644 1
0.1%
487.8403947 1
0.1%

exp_price_kurtosis
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.039512205
Minimum0.0017302924
Maximum0.14936323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-02-08T17:04:59.732687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0017302924
5-th percentile0.016550249
Q10.027091507
median0.036545566
Q30.048047692
95-th percentile0.068268448
Maximum0.14936323
Range0.14763294
Interquartile range (IQR)0.020956185

Descriptive statistics

Standard deviation0.018747422
Coefficient of variation (CV)0.47447166
Kurtosis6.6453885
Mean0.039512205
Median Absolute Deviation (MAD)0.010334799
Skewness1.8844734
Sum49.508793
Variance0.00035146582
MonotonicityNot monotonic
2024-02-08T17:05:00.132353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02817975778 1
 
0.1%
0.04135513547 1
 
0.1%
0.03473643009 1
 
0.1%
0.04488447399 1
 
0.1%
0.0361127131 1
 
0.1%
0.05112644151 1
 
0.1%
0.03049642092 1
 
0.1%
0.0472522324 1
 
0.1%
0.02459644351 1
 
0.1%
0.04139128415 1
 
0.1%
Other values (1243) 1243
99.2%
ValueCountFrequency (%)
0.001730292374 1
0.1%
0.003144964708 1
0.1%
0.005349275517 1
0.1%
0.005391574626 1
0.1%
0.006526278497 1
0.1%
0.008061805458 1
0.1%
0.008408168809 1
0.1%
0.008460479795 1
0.1%
0.009258887024 1
0.1%
0.009973836602 1
0.1%
ValueCountFrequency (%)
0.1493632329 1
0.1%
0.1428630235 1
0.1%
0.1413913911 1
0.1%
0.1408453674 1
0.1%
0.1402036449 1
0.1%
0.1335388118 1
0.1%
0.1316057587 1
0.1%
0.1276538317 1
0.1%
0.1249458959 1
0.1%
0.124933807 1
0.1%

exp_price_skew
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14666297
Minimum0.091079043
Maximum0.27925973
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-02-08T17:05:00.486806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.091079043
5-th percentile0.1096892
Q10.12610997
median0.14270716
Q30.16408202
95-th percentile0.19165278
Maximum0.27925973
Range0.18818068
Interquartile range (IQR)0.037972046

Descriptive statistics

Standard deviation0.028560783
Coefficient of variation (CV)0.19473752
Kurtosis3.2712724
Mean0.14666297
Median Absolute Deviation (MAD)0.018310064
Skewness1.2997891
Sum183.7687
Variance0.0008157183
MonotonicityNot monotonic
2024-02-08T17:05:00.847664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1328113466 1
 
0.1%
0.1316567756 1
 
0.1%
0.1497468237 1
 
0.1%
0.1517170001 1
 
0.1%
0.1437850996 1
 
0.1%
0.1480856854 1
 
0.1%
0.1411117195 1
 
0.1%
0.1469170888 1
 
0.1%
0.139137886 1
 
0.1%
0.142553417 1
 
0.1%
Other values (1243) 1243
99.2%
ValueCountFrequency (%)
0.09107904251 1
0.1%
0.09169185983 1
0.1%
0.09262069533 1
0.1%
0.09688877266 1
0.1%
0.09833978367 1
0.1%
0.0985914669 1
0.1%
0.09904596792 1
0.1%
0.1002756059 1
0.1%
0.1008113499 1
0.1%
0.101568364 1
0.1%
ValueCountFrequency (%)
0.2792597265 1
0.1%
0.2745346482 1
0.1%
0.2736573737 1
0.1%
0.2721169775 1
0.1%
0.2719621475 1
0.1%
0.2713403169 1
0.1%
0.2713298395 1
0.1%
0.2690694412 1
0.1%
0.2663088844 1
0.1%
0.265165556 1
0.1%

days
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size19.6 KiB
21
735 
20
467 
22
 
36
23
 
10
18
 
5

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2506
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row22
2nd row21
3rd row20
4th row21
5th row23

Common Values

ValueCountFrequency (%)
21 735
58.7%
20 467
37.3%
22 36
 
2.9%
23 10
 
0.8%
18 5
 
0.4%

Length

2024-02-08T17:05:01.111183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-08T17:05:01.334493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21 735
58.7%
20 467
37.3%
22 36
 
2.9%
23 10
 
0.8%
18 5
 
0.4%

Most occurring characters

ValueCountFrequency (%)
2 1284
51.2%
1 740
29.5%
0 467
 
18.6%
3 10
 
0.4%
8 5
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2506
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1284
51.2%
1 740
29.5%
0 467
 
18.6%
3 10
 
0.4%
8 5
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 2506
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1284
51.2%
1 740
29.5%
0 467
 
18.6%
3 10
 
0.4%
8 5
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2506
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1284
51.2%
1 740
29.5%
0 467
 
18.6%
3 10
 
0.4%
8 5
 
0.2%

r
Real number (ℝ)

HIGH CORRELATION 

Distinct247
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1936393
Minimum0
Maximum4.16
Zeros10
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-02-08T17:05:01.592299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.08
median1.41
Q32.11
95-th percentile2.718
Maximum4.16
Range4.16
Interquartile range (IQR)2.03

Descriptive statistics

Standard deviation1.0944819
Coefficient of variation (CV)0.91692857
Kurtosis-0.88800053
Mean1.1936393
Median Absolute Deviation (MAD)1.04
Skewness0.39244752
Sum1495.63
Variance1.1978907
MonotonicityNot monotonic
2024-02-08T17:05:01.895688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05 66
 
5.3%
0.09 61
 
4.9%
0.04 57
 
4.5%
0.08 49
 
3.9%
0.03 43
 
3.4%
0.01 40
 
3.2%
0.1 34
 
2.7%
0.06 32
 
2.6%
0.02 26
 
2.1%
0.07 25
 
2.0%
Other values (237) 820
65.4%
ValueCountFrequency (%)
0 10
 
0.8%
0.01 40
3.2%
0.02 26
 
2.1%
0.03 43
3.4%
0.04 57
4.5%
0.05 66
5.3%
0.06 32
2.6%
0.07 25
 
2.0%
0.08 49
3.9%
0.09 61
4.9%
ValueCountFrequency (%)
4.16 1
0.1%
4.12 2
0.2%
4.08 1
0.1%
4.07 1
0.1%
4.04 2
0.2%
3.97 2
0.2%
3.94 1
0.1%
3.93 2
0.2%
3.91 2
0.2%
3.9 1
0.1%

prob_itm
Real number (ℝ)

Distinct1196
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50032715
Minimum0.423934
Maximum0.813206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2024-02-08T17:05:02.168394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.423934
5-th percentile0.4870192
Q10.494462
median0.500488
Q30.505948
95-th percentile0.5131816
Maximum0.813206
Range0.389272
Interquartile range (IQR)0.011486

Descriptive statistics

Standard deviation0.0132447
Coefficient of variation (CV)0.02647208
Kurtosis251.9641
Mean0.50032715
Median Absolute Deviation (MAD)0.005772
Skewness10.128628
Sum626.90992
Variance0.00017542209
MonotonicityNot monotonic
2024-02-08T17:05:02.472781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.504482 2
 
0.2%
0.50231 2
 
0.2%
0.50124 2
 
0.2%
0.500414 2
 
0.2%
0.507066 2
 
0.2%
0.501584 2
 
0.2%
0.489954 2
 
0.2%
0.491748 2
 
0.2%
0.498072 2
 
0.2%
0.500342 2
 
0.2%
Other values (1186) 1233
98.4%
ValueCountFrequency (%)
0.423934 1
0.1%
0.425236 1
0.1%
0.437568 1
0.1%
0.438138 1
0.1%
0.442508 1
0.1%
0.442534 1
0.1%
0.4525 1
0.1%
0.461638 1
0.1%
0.463594 1
0.1%
0.465158 1
0.1%
ValueCountFrequency (%)
0.813206 1
0.1%
0.567152 1
0.1%
0.566392 1
0.1%
0.547962 1
0.1%
0.542236 1
0.1%
0.535612 1
0.1%
0.530162 1
0.1%
0.529604 1
0.1%
0.529354 1
0.1%
0.521866 1
0.1%

Interactions

2024-02-08T17:04:48.237323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:07.218302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:10.194056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:13.439496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:16.527337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:19.566090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:22.880925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:26.081816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:29.330686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:32.585953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:35.898771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:38.913797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:42.046338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:45.272901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:48.450008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:07.417396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:10.386286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:13.655175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:16.726967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:20.046869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:23.102914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:26.303247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:29.555553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:32.772913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:36.120789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:39.120972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:42.271882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:45.483144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:48.645790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:07.602903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:10.588357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:13.871874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:16.945701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:20.266213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:23.315696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:26.528181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:29.785938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:32.975422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:36.335356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:39.337353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:42.503538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:45.670925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:48.870832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:07.777833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:10.760559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:14.083630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:17.156561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:20.469587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:23.536000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:26.745804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:29.990986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:33.200152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:36.535637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:39.547796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:42.710871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:45.851787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:49.075899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:07.981479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:11.021807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:14.294447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:17.372914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:20.678584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:23.749999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:26.968555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:30.197137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:33.421582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:36.721851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:39.730347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:42.921536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:46.060088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:49.316225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:08.200702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:11.232603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:14.513040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:17.605082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:20.879976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:23.973521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:27.198975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:30.445054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:33.619655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:36.940259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:39.965665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:43.153943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:46.277334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:49.825703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:08.417137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:11.470056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:14.748160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:17.825157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:21.132330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:24.210078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:27.454582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:30.696459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:33.831231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:37.176901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:40.216215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:43.386199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:46.502453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:50.079302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:08.648102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:11.711152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:14.979944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:18.079993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:21.369849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:24.470784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:27.696217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:30.957128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:34.099574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:37.412195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:40.478052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:43.640279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:46.752673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:50.305386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:08.849620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:11.943020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:15.188264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:18.271551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:21.570736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:24.686797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:27.916090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:31.182738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:34.298686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:37.621224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:40.667402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:43.849960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:46.949464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:50.516396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:09.076638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:12.174336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:15.394902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:18.476024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:21.774286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:24.912504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:28.143554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:31.426831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:34.798039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:37.846480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:40.874809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:44.073992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:47.147042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:50.763524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:09.288234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:12.434469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:15.611455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:18.677949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:22.001849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:25.140454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:28.365420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:31.622421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:35.016066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:38.065255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:41.114518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:44.318200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:47.368123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:51.029746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:09.535594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:12.711763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:15.851488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:18.910772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:22.227012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:25.376208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:28.609302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:31.936600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:35.236734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:38.282044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:41.344462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:44.565679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:47.581755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:51.269457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:09.758901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:12.955965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:16.104168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:19.146749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:22.461992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:25.627398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:28.859334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:32.161942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:35.456166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:38.506395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:41.597780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:44.785304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:47.805119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:51.486832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:09.960232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:13.194362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:16.296199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:19.341265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:22.654847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:25.845609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:29.079498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:32.357282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:35.660454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:38.698757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:41.794147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:45.018971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-02-08T17:04:48.024101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-02-08T17:05:02.697910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
last_quotestrikeexp_priceexp_call_priceexp_price_minexp_price_maxexp_price_stdexp_price_medianexp_price_q1exp_price_q3exp_price_kurtosisexp_price_skewrprob_itmdays
last_quote1.0001.0001.0000.7270.9800.9550.7381.0000.9990.9990.1740.224-0.543-0.0280.064
strike1.0001.0001.0000.7260.9800.9550.7381.0000.9990.9990.1740.224-0.543-0.0350.063
exp_price1.0001.0001.0000.7280.9800.9560.7391.0000.9990.9990.1760.226-0.543-0.0280.064
exp_call_price0.7270.7260.7281.0000.6340.8680.9910.7270.7100.7460.6660.786-0.5000.0750.078
exp_price_min0.9800.9800.9800.6341.0000.9020.6450.9800.9860.9730.0550.091-0.512-0.0290.024
exp_price_max0.9550.9550.9560.8680.9021.0000.8780.9550.9470.9640.3750.450-0.586-0.0290.058
exp_price_std0.7380.7380.7390.9910.6450.8781.0000.7370.7200.7570.6660.789-0.508-0.0220.080
exp_price_median1.0001.0001.0000.7270.9800.9550.7371.0000.9990.9990.1740.224-0.543-0.0280.064
exp_price_q10.9990.9990.9990.7100.9860.9470.7200.9991.0000.9970.1520.199-0.537-0.0270.039
exp_price_q30.9990.9990.9990.7460.9730.9640.7570.9990.9971.0000.1990.253-0.550-0.0290.064
exp_price_kurtosis0.1740.1740.1760.6660.0550.3750.6660.1740.1520.1991.0000.861-0.1860.0060.000
exp_price_skew0.2240.2240.2260.7860.0910.4500.7890.2240.1990.2530.8611.000-0.240-0.0100.028
r-0.543-0.543-0.543-0.500-0.512-0.586-0.508-0.543-0.537-0.550-0.186-0.2401.0000.0500.252
prob_itm-0.028-0.035-0.0280.075-0.029-0.029-0.022-0.028-0.027-0.0290.006-0.0100.0501.0000.055
days0.0640.0630.0640.0780.0240.0580.0800.0640.0390.0640.0000.0280.2520.0551.000

Missing values

2024-02-08T17:04:51.806364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-08T17:04:52.312969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

last_quotestrikeexp_priceexp_call_priceexp_price_minexp_price_maxexp_price_stdexp_price_medianexp_price_q1exp_price_q3exp_price_kurtosisexp_price_skewdaysrprob_itm
Date
2018-01-02268.81269.0269.0850614.795895220.299691331.79743711.929742268.818700260.893328276.9681530.0281800.132811221.280.494060
2018-01-03270.47270.0270.7247194.898009223.355076329.68346911.376076270.504871262.931788278.2662410.0262200.130464211.290.517872
2018-01-04271.56272.0271.7920454.327332224.083174331.95673311.115819271.569632264.184546279.1471200.0288490.119594201.290.484814
2018-01-05273.41273.0273.6563984.899561223.238560339.80709411.471988273.401513265.802415281.2531160.0370470.124986211.280.513980
2018-01-08273.94274.0274.2017904.865014224.766758335.21694811.954154273.960204265.990680282.1212480.0314190.130457231.270.498670
2018-01-09274.53275.0274.7949784.537983220.358870332.83524011.644716274.556132266.835656282.5054030.0342550.124835221.300.484526
2018-01-10274.08274.0274.2974344.673590224.929167341.86334511.355318274.051853266.519272281.8311890.0254460.129117211.270.501830
2018-01-11276.09276.0276.3104074.561171230.265714331.26706211.066186276.093181268.760232283.6309440.0363600.121058201.310.503400
2018-01-12277.91278.0278.1510964.647491228.422229337.27975511.475825277.899266270.305415285.7432750.0206930.123321211.320.496518
2018-01-16276.96275.0277.2126055.866845223.247878333.66837311.785558276.955845269.139223285.0355020.0178700.124146221.310.566392
last_quotestrikeexp_priceexp_call_priceexp_price_minexp_price_maxexp_price_stdexp_price_medianexp_price_q1exp_price_q3exp_price_kurtosisexp_price_skewdaysrprob_itm
Date
2022-12-14399.41399.0400.0162079.219531312.263468521.85774721.900568399.462923384.926324414.4801550.0365240.158655233.890.508678
2022-12-15389.71390.0390.2893868.548554306.546994503.66218921.143756389.734668375.715201404.2371060.0526570.161431223.910.494964
2022-12-19380.02380.0380.4884447.839602294.619720481.43914219.102733380.016709367.379101393.0772060.0505610.154095183.940.500294
2022-12-21386.21386.0386.8330879.014533299.842771497.10076721.623128386.191809371.936619401.1120970.0423700.170712233.890.503532
2022-12-22380.72381.0381.2751428.499492293.342166493.93678121.028920380.711838366.756400395.1325540.0430610.169355223.900.494578
2022-12-23382.88383.0383.4187688.453400299.573285495.89126120.743004382.841644369.136098397.0474440.0578330.169340213.800.496944
2022-12-26382.91383.0383.4331538.096501305.379967489.35526219.813261382.929791369.818988396.4696370.0346300.155253183.800.498552
2022-12-28376.71377.0377.2747808.526141288.704347501.87272821.106215376.699743362.756994391.1591160.0475700.167175233.870.494106
2022-12-29383.33383.0383.9051368.908718293.726413504.49242021.272438383.314050369.274200397.9061480.0518390.165885223.860.505948
2022-12-30382.44382.0382.9511028.652675294.952910490.92100020.576466382.377879368.788376396.4840630.0575740.164932214.040.507560